Data Science Intern

Location: Remote - United States Department: Engineering & Operations Location Type: Remote

About Wurl, LLC.

At Wurl, our mission is to create innovative technologies and services that help accelerate the shift to streaming. At our core, we are innovators focused on driving the streaming industry forward with technologies that help connect viewers to the right content and ads. Our technology and data-driven solutions help companies reach new audiences, engage high-value viewers, and ultimately increase their revenue.

In 2022, Wurl was acquired by AppLovin (Nasdaq: APP), a leading marketing platform, giving our employees the best of both worlds: the dynamic environment of a 150+ person startup as well as the stability of a high-growth public tech company. We invest in providing a culture that fosters passion, drives excellence, and encourages collaboration to drive innovation. Wurl is a fully-remote company that has been globally recognized for our people and technology, having been named a Great Place to Work by Fortune in 2022, 2023, and 2024; an Ad Tech Company of the Year finalist by the UK Business Tech Awards in 2023; a BIG Innovation Awards winner in 2024 and 2025; and the “Innovation in Advertising” winner by the StreamTV Awards in 2024.

About the role

Wurl is seeking an intern with proven academic achievements in data analytics related fields for a year long internship. Wurl’s position in the video and ad delivery ecosystem generates large quantities of data that needs to be carefully analyzed and normalized. We’re looking for an intern that can become familiar with Wurl’s datasets and their usage and support our Data Science and Machine Learning team. The ideal candidate is a PhD / MSc in the field of DataScience, AI/ML, Statistics, Physics, Mathematics, or Computer Science.

Responsibilities

Perform analysis tasks to identify anomalies and their root cause as well as propose and put in place validations to programmatically identify such conditions

Propose methods to normalize the data, implement them, check accuracy and iterate until sufficient accuracy is achieved

Increase the accuracy of derived datasets and data products

Qualifications

Education -

PhD / MSC preferred. BSc with high gpa, multiple majors, notable projects is also accepted

Field: DataScience, AI/ML, Statistics, Physics, Mathematics, or Computer Science

Technical

Graph algorithms and network analysis

Large-scale data analysis

Data quality and anomaly detection

Agentic / AI-assisted software development

Familiarity with distributed data platforms such as Snowflake / Databricks

Strong Python and SQL

Applied statistics and probability

Machine learning fundamentals

Experiment design and causal reasoning

Optimization / decision-making under uncertainty

Ability to write clean, maintainable analytical code

Non agentic development experience is mandatory

Nice to have

Modeling / Research

Comfortable evaluating models beyond headline metrics

Experience moving from research idea → prototype → validated result

Ability to translate ambiguous problems into mathematical or statistical formulations

Strong intuition for uncertainty, bias, variance, and noisy data

Strong quantitative reasoning and mathematical knowledge

Problem Solving

Ability to recognize when results look wrong

Comfortable working with incomplete, messy, or contradictory data

Advanced analytical problem-solving ability

Strong debugging and root-cause analysis skills

Ability to form and test hypotheses quickly

Personal Attributes

High intellectual curiosity

Strong ownership and initiative

Rapid learner

Independent thinker

Comfortable challenging assumptions

Willingness to continue digging into 'funny' things until they make sense

Effective communication skills and team player.

What We Offer

Paid internship ($30/hr) with flexible scheduling.

Remote-first work culture and support.

Mentorship from experienced engineers and product experts.

AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.

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